SpringerBriefs in Computer Science / Spatio-Temporal Data Streams
(Sprache: Englisch)
This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
Fr. 59.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „SpringerBriefs in Computer Science / Spatio-Temporal Data Streams “
Klappentext zu „SpringerBriefs in Computer Science / Spatio-Temporal Data Streams “
This SpringerBrief presents the fundamental concepts of a specialized class of data stream, spatio-temporal data streams, and demonstrates their distributed processing using Big Data frameworks and platforms. It explores a consistent framework which facilitates a thorough understanding of all different facets of the technology, from basic definitions to state-of-the-art techniques. Key topics include spatio-temporal continuous queries, distributed stream processing, SQL-like language embedding, and trajectory stream clustering. Over the course of the book, the reader will become familiar with spatio-temporal data streams management and data flow processing, which enables the analysis of huge volumes of location-aware continuous data streams. Applications range from mobile object tracking and real-time intelligent transportation systems to traffic monitoring and complex event processing. Spatio-Temporal Data Streams is a valuable resource for researchers studying spatio-temporal data streams and Big Data analytics, as well as data engineers and data scientists solving data management and analytics problems associated with this class of data.Inhaltsverzeichnis zu „SpringerBriefs in Computer Science / Spatio-Temporal Data Streams “
Introduction.- Spatio-Temporal Continuous Queries.- Spatio-Temporal Data Streams and Big Data Paradigm.- Spatio-Temporal Data Stream Clustering.
Bibliographische Angaben
- Autor: Zdravko Galic
- 2016, 1st ed. 2016, XIV, 107 Seiten, Masse: 15,9 x 23,3 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1493965735
- ISBN-13: 9781493965731
- Erscheinungsdatum: 27.08.2016
Sprache:
Englisch
Kommentar zu "SpringerBriefs in Computer Science / Spatio-Temporal Data Streams"
0 Gebrauchte Artikel zu „SpringerBriefs in Computer Science / Spatio-Temporal Data Streams“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "SpringerBriefs in Computer Science / Spatio-Temporal Data Streams".
Kommentar verfassen